I'm not sure if I'll every productize it in any way, but I could see a world where it's used by people prepping for the bar, med boards, various continuing education stuff. Right now it's just a fun platform to build on as I explore the current wave of technologies. Building a framework for evaluating different LLMs for best price/accuracy. Adding a RAG pipeline so wrong answers can point back to source material for further review, etc.

I'm looking at moving from backend engineering to a more MLE or agent pipeline role, so this is giving me something more than school projects to build on. While also helping me do better at school.

[1] https://studyengine.app/

https://codecrafters.io/

https://masterliberalarts.uchicago.edu/curriculum/

https://www.lg.com/us/monitors/lg-28mq780-b-dualup-monitor

Back of House: schedules are pretty much set. The only time things change is working around someone being out.

Front of House is famously a giant pot exceptions. Mix of professional waitstaff and folks who are just picking up some shifts to finance their passion/true focus(art, music, non-profits, teachers). So you'll need to work around some fun priorities.

How do you flag special events? This will require extra people on a Monday that is historically forecast-ed to be slow. Large parties is a specialist skill in a lot of restaurants. Pretty much any server can make a large party work, but normally a few of the staff really shine with that kind of work, and you'll want them staffed.

Respect everyone's availability/time-off: FOH usually has a good mix of full-time and part-time. And a lot of people are willing to pick up an extra shift with some head's up. And that's both part-times going full-time for a week, and full-timers working extra shifts. People have preferences around working/not working doubles and clopens. One of your full-timers requests a few shifts off next week because their band is playing the next town over. The human process is just to ask a few people who are working if they want to pick up those shifts. Often the person taking off will have found someone to cover for them before requesting the time off, so you'll need that input. Often the GM/AGM making the schedule has all of the human parts in their head and just works through it.

Fiction: Reaper's Gale, book #7 of the fantasy series Malazan Book of the Fallen.

Non-fiction(history): Denmark Vesey’s Garden: Slavery and Memory in the Cradle of the Confederacy

And then I'm dabbling in a few books around the math behind and practical hands-on machine learning/deep learning.

[0] https://www.coursera.org/specializations/mathematics-for-mac... [1] https://www.manning.com/books/math-and-architectures-of-deep...

I use AI for taking info and restructuring it for me. Rewrite a Linear ticket in a proper format, take an info dump and turn it into a spike outcome or ADR doc that I can then refine. I also like it for the rote stuff I haven't memorized the structure of: building OpenSearch queries, writing boto3 snippets, etc. Other than that, my job is the same as it was pre-LLM hype. And from talking to other engineers, it seems that my experience is fairly standard.

Pigma Microns and Uniball One are my go-to pens. Previously it was Signo DXs as well. I think I prefer the barrel of the DX, but the wire clip and general appearance of the Uniball sold me.